Optimization Scheduling Strategy for Coal Railway Integrated Energy Systems

Xiangdong Lou, Xing Yang, Jikang Sun, Yiming Jiang and Baoye Song ()
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Xiangdong Lou: Railway Transport Branch, Yankuang Logistics Technology Co., Ltd., Jining 273500, China
Xing Yang: Railway Transport Branch, Yankuang Logistics Technology Co., Ltd., Jining 273500, China
Jikang Sun: Railway Transport Branch, Yankuang Logistics Technology Co., Ltd., Jining 273500, China
Yiming Jiang: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
Baoye Song: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

Energies, 2025, vol. 18, issue 17, 1-14

Abstract: This paper proposes an optimal scheduling strategy for coal-dedicated railway integrated energy systems, leveraging coordinated electric boiler and thermal storage operation to enhance economic efficiency, improve wind power integration, and reduce carbon emissions. By decoupling the traditional “heat-led-electricity” constraint of combined heat and power (CHP) units, the approach increases operational flexibility and wind power accommodation capacity. A demand response model further optimizes demand-side dispatchability, while a tiered carbon trading mechanism systematically addresses emission costs. The resulting day-ahead scheduling model minimizes total costs—including electricity procurement, wind curtailment penalties, carbon trading, and maintenance expenses—demonstrating superior performance in case studies: a 12.5% reduction in carbon emissions, 56.8% lower operating costs versus conventional methods, and full (100%) wind power utilization.

Keywords: wind power accommodation; carbon trading mechanism; demand response; electro-thermal coupling; combined heat and power (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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